. "Work placement"@en . . "10" . "Students are required to undertake a minimum of 250 hours work placement between May and the end of July in a company(s) within which they will employ the knowledge and skills learned on the course.\n\nOutcome:\nOn successful completion of the module, students should be able to:\nEmploy the GIS or RS skills that they have acquired during taught modules in a work environment.\nAcknowledge the typical structure and work flow of GIS or RS focused companies.\nManipulate real world data sets for the production of useful products.\nExecute software operation techniques learnt as part of taught modules in a work place environment." . . "Presential"@en . "TRUE" . . "Work Based Experience"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Master of Geograp Information Systems (GIS) & Remote Sensing"@en . . "https://www.maynoothuniversity.ie/study-maynooth/postgraduate-studies/courses/msc-geograpinformation-systems-remote-sensing" . "90"^^ . "Presential"@en . "Given the wider development of Citizen GIS and an increased public awareness and knowledge of the power and value of spatial data, vastly increased amounts of such data from different sources are now available to researchers. However, in order to turn these data into useful information, they must be efficiently managed, processed and analysed before being displayed in a comprehensible format. Geographical Information Systems and the associated field of Remote Sensing greatly aid us in such tasks. The course is equally split between both parts - GIS and Remote Sensing - with four core module introducing the theory and practice of both subject at an introductory and advanced level. Geographical Information Systems or GIS as they are better known, are widely used in a wide variety of subject fields across the physical and social sciences and even in the humanities, with applicability in everything from archaeology and astronomy to geomorphology and globalisation to soil science and social planning. Remote Sensing – the analysis and interpretation of aerial and satellite imagery – has transformed the manner in which we view the Earth. The synoptic view of the Earth that it has given us has greatly improved our understanding of atmospheric and oceanic processes, sustained environmental management and the interaction of humans with the natural world. It is now a standard research tool in many fields such as geology, geography, pollution control, agriculture and climatology. Additional optional modules in Programming, Spatial Databases and Marine Remote Sensing are also available to students who want to develop the technical side more fully, though the course has a strong applied flavour throughout. In addition, all students complete a work placement in the summer months which allows them to gain valuable practical experience to test and develop the skills learnt across the course.\r\n\r\nAims of the Course\r\n\r\n- To provide highly qualified, motivated graduates who have been trained in Geographical Information Systems, Remote Sensing and Digital Image Processing and who can apply the information technology skills they obtain.\r\n\r\n- To produce marketable graduates who will make significant contributions to GIS and RS application areas including; industry, government, academia, the community and voluntary sector and other public and private bodies.\r\n\r\n- To provide an understanding of Geographical Information Systems and Remote Sensing, the technology involved and its applications for specific investigations."@en . . . . "1"@en . "FALSE" . . "Master"@en . "None" . "6500.00" . "Euro"@en . "6500.00" . "Mandatory" . "The MSc in GIS and Remote Sensing is first and foremost a course to skill students for work in a wide range of employment areas. These include a wide range of government and semi-state agencies, local authorities and the voluntary sector, especially in areas associated with the environment and planning. In addition, graduates have worked in a wide range of private sector organisations and businesses, where the ability to work with and critically managed big spatial data is increasingly valued. Successful students have also proceeded to PhD level research and gained employment in academia."@en . "no data" . "TRUE" . "Downstream"@en . . . . . . . . . .